Experimental Methods For The Analysis Of Optimization Algorithms

Download Experimental Methods For The Analysis Of Optimization Algorithms full books in PDF, epub, and Kindle. Read online Experimental Methods For The Analysis Of Optimization Algorithms ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Experimental Methods for the Analysis of Optimization Algorithms

Author : Thomas Bartz-Beielstein
Publisher : Springer Science & Business Media
ISBN 13 : 3642025382
Total Pages : 469 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Experimental Methods for the Analysis of Optimization Algorithms by : Thomas Bartz-Beielstein

Download or read book Experimental Methods for the Analysis of Optimization Algorithms written by Thomas Bartz-Beielstein and published by Springer Science & Business Media. This book was released on 2010-11-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should follow accepted principles that guarantee the reliability and reproducibility of results. However, computational experiments differ from those in other sciences, and the last decade has seen considerable methodological research devoted to understanding the particular features of such experiments and assessing the related statistical methods. This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring and tuning algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributor list includes leading scientists in algorithm design, statistical design, optimization and heuristics, and most chapters provide theoretical background and are enriched with case studies. This book is written for researchers and practitioners in operations research and computer science who wish to improve the experimental assessment of optimization algorithms and, consequently, their design.

Experimental Research in Evolutionary Computation

Author : Thomas Bartz-Beielstein
Publisher : Springer Science & Business Media
ISBN 13 : 354032027X
Total Pages : 215 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Experimental Research in Evolutionary Computation by : Thomas Bartz-Beielstein

Download or read book Experimental Research in Evolutionary Computation written by Thomas Bartz-Beielstein and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.

Multimodal Optimization by Means of Evolutionary Algorithms

Author : Mike Preuss
Publisher : Springer
ISBN 13 : 3319074075
Total Pages : 189 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Multimodal Optimization by Means of Evolutionary Algorithms by : Mike Preuss

Download or read book Multimodal Optimization by Means of Evolutionary Algorithms written by Mike Preuss and published by Springer. This book was released on 2015-11-27 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability for use as diagnostic tools for experimental analysis, especially for detecting problem (type) properties; and he measures and compares the performances of niching and canonical EAs using different benchmark test problem sets. His work consolidates the recent successes in this domain, presenting and explaining use cases, algorithms, and performance measures, with a focus throughout on the goals of the optimization processes and a deep understanding of the algorithms used. The book will be useful for researchers and practitioners in the area of computational intelligence, particularly those engaged with heuristic search, multimodal optimization, evolutionary computing, and experimental analysis.

Analysis of Experimental Algorithms

Author : Ilias Kotsireas
Publisher : Springer Nature
ISBN 13 : 3030340295
Total Pages : 564 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Analysis of Experimental Algorithms by : Ilias Kotsireas

Download or read book Analysis of Experimental Algorithms written by Ilias Kotsireas and published by Springer Nature. This book was released on 2019-11-14 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the Special Event on the Analysis of Experimental Algorithms, SEA2 2019, held in Kalamata, Greece, in June 2019. The 35 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers cover a wide range of topics in both computer science and operations research/mathematical programming. They focus on the role of experimentation and engineering techniques in the design and evaluation of algorithms, data structures, and computational optimization methods.

Experimental Algorithms

Author : Catherine C. McGeoch
Publisher : Springer Science & Business Media
ISBN 13 : 3540685480
Total Pages : 371 pages
Book Rating : 4.5/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Experimental Algorithms by : Catherine C. McGeoch

Download or read book Experimental Algorithms written by Catherine C. McGeoch and published by Springer Science & Business Media. This book was released on 2008-05-08 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Experimental and Efficient Algorithms, WEA 2008, held in Provincetown, MA, USA, in May/June 2008. The 26 revised full papers were carefully reviewed and selected from numerous submissions and present current research on experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications. Special focus is put on the use of experimental methods to guide the design, analysis, implementation, and evaluation of algorithms, heuristics, and optimization programs.

Uncertainty Management in Simulation-Optimization of Complex Systems

Author : Gabriella Dellino
Publisher : Springer
ISBN 13 : 1489975470
Total Pages : 271 pages
Book Rating : 4.4/5 (899 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Management in Simulation-Optimization of Complex Systems by : Gabriella Dellino

Download or read book Uncertainty Management in Simulation-Optimization of Complex Systems written by Gabriella Dellino and published by Springer. This book was released on 2015-06-29 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together — as chapter contributors — researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors’ goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Author : Panos M. Pardalos
Publisher : Springer Nature
ISBN 13 : 3030665151
Total Pages : 388 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Black Box Optimization, Machine Learning, and No-Free Lunch Theorems by : Panos M. Pardalos

Download or read book Black Box Optimization, Machine Learning, and No-Free Lunch Theorems written by Panos M. Pardalos and published by Springer Nature. This book was released on 2021-05-27 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

Statistical and Computational Techniques in Manufacturing

Author : J. Paulo Davim
Publisher : Springer Science & Business Media
ISBN 13 : 364225859X
Total Pages : 285 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Statistical and Computational Techniques in Manufacturing by : J. Paulo Davim

Download or read book Statistical and Computational Techniques in Manufacturing written by J. Paulo Davim and published by Springer Science & Business Media. This book was released on 2012-03-06 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.

A Guide to Experimental Algorithmics

Author : Catherine C. McGeoch
Publisher : Cambridge University Press
ISBN 13 : 1107001730
Total Pages : 273 pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis A Guide to Experimental Algorithmics by : Catherine C. McGeoch

Download or read book A Guide to Experimental Algorithmics written by Catherine C. McGeoch and published by Cambridge University Press. This book was released on 2012-01-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms.

Learning and Intelligent Optimization

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 3642449735
Total Pages : 470 pages
Book Rating : 4.6/5 (424 download)

DOWNLOAD NOW!

Book Synopsis Learning and Intelligent Optimization by : Giuseppe Nicosia

Download or read book Learning and Intelligent Optimization written by Giuseppe Nicosia and published by Springer. This book was released on 2013-11-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Learning and Optimization, LION 7, which was held in Catania, Italy, in January 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications

Author : Carrillo-Cedillo, Eugenia Gabriela
Publisher : IGI Global
ISBN 13 : 179981520X
Total Pages : 429 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications by : Carrillo-Cedillo, Eugenia Gabriela

Download or read book Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications written by Carrillo-Cedillo, Eugenia Gabriela and published by IGI Global. This book was released on 2019-12-13 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.

Metaheuristics for Dynamic Optimization

Author : Enrique Alba
Publisher : Springer
ISBN 13 : 3642306659
Total Pages : 400 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Metaheuristics for Dynamic Optimization by : Enrique Alba

Download or read book Metaheuristics for Dynamic Optimization written by Enrique Alba and published by Springer. This book was released on 2012-08-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming very important. The tools to face these problems are still to be built, since existing techniques are either slow or inefficient in tracking the many global optima that those problems are presenting to the solver technique. Thus, this book is devoted to include several of the most important advances in solving dynamic problems. Metaheuristics are the more popular tools to this end, and then we can find in the book how to best use genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired techniques. Also, neural network solutions are considered in this book. Both, theory and practice have been addressed in the chapters of the book. Mathematical background and methodological tools in solving this new class of problems and applications are included. From the applications point of view, not just academic benchmarks are dealt with, but also real world applications in logistics and bioinformatics are discussed here. The book then covers theory and practice, as well as discrete versus continuous dynamic optimization, in the aim of creating a fresh and comprehensive volume. This book is targeted to either beginners and experienced practitioners in dynamic optimization, since we took care of devising the chapters in a way that a wide audience could profit from its contents. We hope to offer a single source for up-to-date information in dynamic optimization, an inspiring and attractive new research domain that appeared in these last years and is here to stay.

Springer Handbook of Computational Intelligence

Author : Janusz Kacprzyk
Publisher : Springer
ISBN 13 : 3662435055
Total Pages : 1634 pages
Book Rating : 4.6/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Springer Handbook of Computational Intelligence by : Janusz Kacprzyk

Download or read book Springer Handbook of Computational Intelligence written by Janusz Kacprzyk and published by Springer. This book was released on 2015-05-28 with total page 1634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Evolutionary Multi-Criterion Optimization

Author : Ricardo H.C. Takahashi
Publisher : Springer Science & Business Media
ISBN 13 : 3642198929
Total Pages : 634 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Multi-Criterion Optimization by : Ricardo H.C. Takahashi

Download or read book Evolutionary Multi-Criterion Optimization written by Ricardo H.C. Takahashi and published by Springer Science & Business Media. This book was released on 2011-03-14 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011, held in Ouro Preto, Brazil, in April 2011. The 42 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers deal with fundamental questions of EMO theory, such as the development of algorithmically efficient tools for the evaluation of solution-set quality , the theoretical questions related to solution archiving and others. They report on the continuing effort in the development of algorithms, either for dealing with particular classes of problems or for new forms of processing the problem information. Almost one third of the papers is related to EMO applications in a diversity of fields. Eleven papers are devoted to promote the interaction with the related field of Multi-Criterion Decision Making (MCDM).

Learning and Intelligent Optimization

Author : Panos M. Pardalos
Publisher : Springer
ISBN 13 : 3319095846
Total Pages : 392 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Learning and Intelligent Optimization by : Panos M. Pardalos

Download or read book Learning and Intelligent Optimization written by Panos M. Pardalos and published by Springer. This book was released on 2014-07-31 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective optimization; metaheuristics; graphs and networks; logistics and transportation; and biomedical applications.

Proceedings. 20. Workshop Computational Intelligence, Dortmund, 1. Dezember - 3. Dezember 2010

Author : Frank Hoffmann
Publisher : KIT Scientific Publishing
ISBN 13 : 3866445806
Total Pages : 328 pages
Book Rating : 4.8/5 (664 download)

DOWNLOAD NOW!

Book Synopsis Proceedings. 20. Workshop Computational Intelligence, Dortmund, 1. Dezember - 3. Dezember 2010 by : Frank Hoffmann

Download or read book Proceedings. 20. Workshop Computational Intelligence, Dortmund, 1. Dezember - 3. Dezember 2010 written by Frank Hoffmann and published by KIT Scientific Publishing. This book was released on 2014-08-14 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieser Tagungsband enthält die Beiträge des 20. Workshops "Computational Intelligence" des Fachausschusses 5.14 der VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA) der vom 1.-3. Dezember 2010 im Haus Bommerholz (Dortmund) stattfand. Die Schwerpunkte waren Methoden, Anwendungen und Tools für- Fuzzy-Systeme, - Künstliche Neuronale Netze, - Evolutionäre Algorithmen und- Data-Mining-Verfahrensowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen.

Evolutionary Computation in Combinatorial Optimization

Author : Martin Middendorf
Publisher : Springer
ISBN 13 : 3642371981
Total Pages : 275 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Martin Middendorf

Download or read book Evolutionary Computation in Combinatorial Optimization written by Martin Middendorf and published by Springer. This book was released on 2013-03-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. The 23 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming.